GenCo's mid-term optimal operation analysis: interaction of wind farm, gas turbine, and energy storage systems in electricity and natural gas markets

2019 ◽  
Vol 13 (12) ◽  
pp. 2328-2338 ◽  
Author(s):  
Mostafa Ansari ◽  
Mohammad Amin Latify ◽  
Gholam Reza Yousefi
Keyword(s):  
Energy Storage ◽  
Natural Gas ◽  
Gas Turbine ◽  
Wind Farm ◽  
Storage Systems ◽  
Optimal Operation ◽  
Energy Storage Systems ◽  
Operation Analysis ◽  
Natural Gas Markets ◽  
Gas Markets

scholarly journals Benefits of Energy Storage Systems for Small-Scale Wind Farm Development in Latvia

2021 ◽  
Vol 58 (2) ◽  
pp. 11-18
Author(s):  
E. Groza ◽  
M. Balodis ◽  
K. Gulbis ◽  
J. Dirba
Keyword(s):  
Energy Storage ◽  
Small Area ◽  
Wind Farm ◽  
Storage Systems ◽  
Wind Farms ◽  
Small Scale ◽  
High Wind ◽  
Energy Storage Systems ◽  
Grid Connection ◽  
Wind Potential

Abstract The paper covers the main aspects and restrictions on siting small-scale wind farms in Latvia and benefits of using energy storage systems with small-scale wind farms. The restrictions of siting have been analysed. Grid connection restrictions are addressed as the main issues for small-scale wind farm development in Latvia. Two small-scale wind farm models with similar properties have been made and analysed within the framework of the research. The paper proposes the idea for maximising the production of small-scale wind farm in a small area site with high wind potential.

A new operation strategy of PEV parking and hydro storage in smart grid environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Esmaeil Nazari ◽  
Mahsa Zarrini Farahmand
Keyword(s):  
Energy Storage ◽  
Smart Grid ◽  
Heuristic Algorithm ◽  
Storage Systems ◽  
Optimal Operation ◽  
Operation Strategy ◽  
Energy Storage Systems ◽  
Grid Environment ◽  
Content Type ◽  
Total Cost

Purpose The purpose of this study is to solve the optimal operation strategy problem of plug-in electric vehicles (PEV) parking as a demand response (DR) program and hydro storage as an energy storage system in a smart grid environment using a heuristic algorithm. Design/methodology/approach Studying the smart grid with DR, renewable energy resources and energy storage systems is necessary. To do this, the heuristic optimization algorithm is developed to solve the scheduling problem. This deterministic algorithm benefits from the definition of appropriate fitness functions. Findings For validation, it is shown that reduction of 1.1%–12.5% in pollution and 8.8%–34.8% in total cost are achieved, as compared with literature. Also, the suggested operation strategy of PEVs parking and hydro storage results in reducing the total cost by 6.21%. Originality/value DR programs such as PEV parking play a major role in smart grid developments. Also, energy storage systems such as hydro storage lead to better performance of distributed generations and lower costs and pollution by thermal units. However, based on the literature, the effects of PEV parking and hydro storage on smart grid operation strategy are not considered. Therefore, contributions of this study are: effects of hydro storage on the smart grid are considered, effects of PEV parking on the smart grid are considered, a heuristic algorithm is developed to solve operation strategy problem for PEV parking and hydro storage in a smart grid environment.

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